Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 60,516 28.10308 15.87008 1 56 ve_forms | 60,516 1.744663 1.036319 1 28 harm_ev | 60,516 13.01583 6.697684 1 99 man_coll | 60,516 1.747373 1.918353 0 9 hit_run | 60,516 .0260097 .2238029 0 3 -------------+--------------------------------------------------------- veh_no | 60,516 1.372331 .7268488 1 28 make | 60,516 26.96429 23.76746 1 99 model | 60,516 37.97308 39.19993 0 99 body_typ | 60,516 18.56131 23.45137 1 99 mod_year | 60,516 71.91655 5.73254 0 99 -------------+--------------------------------------------------------- reg_stat | 60,516 28.25337 17.02767 0 99 rollover | 0 j_knife | 0 trav_sp | 60,516 77.38396 29.83353 0 99 tow_veh | 60,516 .0072708 .0849592 0 1 -------------+--------------------------------------------------------- spec_use | 60,516 .0202261 .3417382 0 9 emer_use | 60,516 .0016359 .0404139 0 1 impact1 | 60,516 10.05866 11.21679 0 99 impact2 | 60,516 10.7232 13.22326 0 99 deformed | 60,516 5.150423 1.713262 0 9 -------------+--------------------------------------------------------- impacts | 60,516 1.176995 .6150662 0 9 towaway | 60,516 2.206607 1.618777 1 9 fire_exp | 60,516 .0250182 .1599452 0 9 ocupants | 60,516 2.395135 8.007191 0 99 deaths | 60,516 .6274869 .6420944 0 10 -------------+--------------------------------------------------------- veh_cf1 | 60,516 5.170781 21.79706 0 99 veh_cf2 | 60,516 5.078938 21.80479 0 99 m_harm | 0 chas_tr | 19,370 99 0 99 99 wgtcd_tr | 29,036 6.814575 3.376749 0 9 -------------+--------------------------------------------------------- vin_lngt | 60,516 33.55212 37.74063 3 99 vin_1 | 0 vin_2 | 0 vin_3 | 0 vin_4 | 0 -------------+--------------------------------------------------------- vin_5 | 0 vin_6 | 0 vin_7 | 0 vin_8 | 0 vin_9 | 0 -------------+--------------------------------------------------------- vin_10 | 0 fldcd_tr | 0 mcycl_ty | 0 dr_pres | 60,516 1.021135 .3578182 1 9 dr_drink | 60,516 .1928746 .7364493 0 9 -------------+--------------------------------------------------------- l_state | 60,516 28.97011 17.63735 1 99 l_status | 60,516 3.185538 1.234062 0 9 l_restri | 60,516 .8896986 2.084225 0 9 dr_train | 60,516 6.681803 3.828749 0 9 viol_chg | 60,516 .4780554 1.547133 0 9 -------------+--------------------------------------------------------- prev_acc | 60,516 5.022374 21.12727 0 99 prev_sus | 60,516 4.87524 21.15733 0 99 prev_dwi | 60,516 4.811967 21.16841 0 99 prev_spd | 60,516 5.273234 21.08495 0 99 prev_oth | 60,516 5.131106 21.11341 0 99 -------------+--------------------------------------------------------- last_mo | 60,516 7.891087 20.86926 0 99 last_yr | 60,516 41.31005 39.24725 0 99 first_mo | 60,516 7.831516 20.87932 0 99 first_yr | 60,516 40.92623 38.91013 0 99 dr_cf1 | 60,516 21.76274 22.09482 0 99 -------------+--------------------------------------------------------- dr_cf2 | 60,516 10.9282 20.64219 0 99 dr_cf3 | 60,516 3.837481 15.77028 0 99 st_case | 60,516 282151.4 158362.2 10001 560208 mak_mod | 60,516 2734.402 2391.894 100 9999 vin_wgt | 48,339 5994.638 3340.344 0 9999 -------------+--------------------------------------------------------- whlbs_sh | 48,339 4672.379 4356.813 0 9999 whlbs_lg | 48,339 4169.802 4781.643 0 9999 mcycl_ds | 21,881 9383.472 1938.729 0 9999 vina_mod | 0 ser_tr | 0 -------------+--------------------------------------------------------- vin | 0 by Jean Roth , jroth@nber.org , 22 Apr 2016